Antoniya Georgieva

23 papers B 1C 1Misc 1Journal 11Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
A deep learning method for locating fetal heart rate decelerations during labour using crowd-sourced data.
Expert Syst. Appl.
John Tolladay, Mariana Tome, Antoniya Georgieva
2024 — conf
Gated Self Attention Convolutional Neural Networks for Predicting Adverse Birth Outcomes.
IIAI-AAI
Daniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana I. L. Namburete, Raymond Lee, Antoniya Georgieva
2022 — conf
Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance.
LOD (1)
Daniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana I. L. Namburete, Raymond Lee, Antoniya Georgieva
2019 J jnl
Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery.
IEEE Access
Alessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva
2018 — conf
Deep Learning for Continuous Electronic Fetal Monitoring in Labor.
EMBC
Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva
2014 J jnl
Highly comparative fetal heart rate analysis.
CoRR
Ben D. Fulcher, Antoniya Georgieva, Christopher W. G. Redman, Nick S. Jones
2013 J jnl
Artificial neural networks applied to fetal monitoring in labour.
Neural Comput. Appl.
Antoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman
2013 — conf
Feature selection for computerized fetal heart rate analysis using genetic algorithms.
EMBC
Liang Xu, Antoniya Georgieva, Christopher W. G. Redman, Stephen J. Payne
2013 J jnl
Self-organizing maps for texture classification.
Neural Comput. Appl.
Nedyalko Petrov, Antoniya Georgieva, Ivan Jordanov
2012 — conf
Highly comparative fetal heart rate analysis.
EMBC
Ben D. Fulcher, Antoniya Georgieva, Christopher W. G. Redman, Nick S. Jones
2012 J jnl
Relation of fetal heart rate signals with unassignable baseline to poor neonatal state at birth.
Medical Biol. Eng. Comput.
Antoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman
2011 — conf
Computerized intrapartum electronic fetal monitoring: Analysis of the decision to deliver for fetal distress.
EMBC
Antoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman
2010 J jnl
A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points.
Comput. Oper. Res.
Antoniya Georgieva, Ivan Jordanov
2010 — conf
Feedforward neural networks for automated classification.
IEEE ICCI
Ivan Jordanov, Antoniya Georgieva
2009 J jnl
Computerised electronic foetal heart rate monitoring in labour: automated contraction identification.
Medical Biol. Eng. Comput.
Antoniya Georgieva, Stephen J. Payne, Christopher W. G. Redman
2009 J jnl
Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms.
Eur. J. Oper. Res.
Antoniya Georgieva, Ivan Jordanov
2009 J jnl
Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks.
IEEE Trans. Neural Networks
Antoniya Georgieva, Ivan Jordanov
2008 Misc conf
Hybrid Metaheuristics for Global Optimization: A Comparative Study.
HAIS
Antoniya Georgieva, Ivan Jordanov
2008 — conf
Intelligent hybrid system for pattern recognition and classification.
CSTST
Ivan Jordanov, Antoniya Georgieva
2008 — —
Stochastic methods and genetic algorithms for neural network learning.
Antoniya Georgieva
2007 J jnl
Neural Network Learning With Global Heuristic Search.
IEEE Trans. Neural Networks
Ivan Jordanov, Antoniya Georgieva
2006 B conf
Supervised Neural Network Training with a Hybrid Global Optimization Technique.
IJCNN
Antoniya Georgieva, Ivan Jordanov
2005 C conf
A Hybrid Heuristic Method for Global Optimization.
HIS
Antoniya Georgieva, Ivan Jordanov